Search Results - (( based applications acs algorithm ) OR ( its application during algorithm ))*

Refine Results
  1. 1

    Modified ACS centroid memory for data clustering by Jabbar, Ayad Mohammed, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

    Published 2019
    “…Ant Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2
  3. 3

    Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation by Chen, Soong Der

    Published 2000
    “…This thesis focuses on ways to improve the existing solutions in the algorithmic and implementation aspects. For the algorithmic aspect, the basic principles of motion compensated DCT block-based compression scheme was studied. …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5

    Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means by Chimphlee, Witcha, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan, Chimphlee, Siriporn

    Published 2005
    “…The objective of this paper is to describe a rough sets and fuzzy c-means algorithms and discuss its usage to detect intrusion in a computer network. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    The largest studentized residual test for bad data identification in state estimation of a power system by Khan, Z., Razali, R.B., Daud, H., Nor, N.M., Firuzabad, M.F.

    Published 2015
    “…Power system state estimation is a reliable tool used in Energy Management System (EMS) to identify the existence state of the system during its operating hours. The results of this estimation are values for unknown state parameters of the power system. …”
    Get full text
    Get full text
    Article
  7. 7
  8. 8

    Precipitation trend analysis for The Langat River Basin, Selangor, Malaysia by Palizdan, Narges

    Published 2014
    “…From the annual scale perspective, all three regions showed positive trends. However, the application of the two methods at this scale showed a significant trend only in the region AC1. …”
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10
  11. 11

    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

    Published 2022
    “…The semi-automated dental staging system developed in this study is based on the Malay children’s population and uses a brain-inspired learning algorithm termed "deep learning". …”
    Get full text
    Get full text
    Thesis
  12. 12
  13. 13

    A New Near Optimal Harmonics Elimination PWM Algorithm For AC Traction Drives by Salam, Zainal, Chew, Tit Lynn

    Published 2002
    “…One well-known solution to ensure that the unwanted harmonics do not appear on the spectra is by using the harmonics elimination PWM (HEPWM) switching method. However, the application of HEPWM has been somewhat limited by the fact that the switching angles cannot be calculated online by a microprocessor-based waveform generator. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14
  15. 15
  16. 16

    Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network by Husna, Jamal Abdul Nasir

    Published 2020
    “…This research proposes a hybridization of Enhanced ACS and Tabu Search (EACS(TS)) algorithm for packet routing in WSN. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17

    Quality Of Service Provisioning Scheme For Real-Time Applications in IEEE 802.11 Wireless Local Area Network by Ng, Roger Cheng Yong

    Published 2006
    “…SNT-AC uses an admission control algorithm to restrict flows in and out of the BSS. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19
  20. 20

    Multi-label learning based on positive label correlations using predictive apriori by Al Azaidah, Raed Hasan Saleh

    Published 2019
    “…Along with that, two algorithms have been constructed by capturing the positive correlations where the first algorithm (MLR-PC) captures the positive global correlations and the second algorithm (MLCBA) proposes an adaption of AC algorithm to handle MLC based on the positive local correlations. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis